Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A2419E25132843A086B82D26171FF63D3C2D34FD2D89AD2B3FC53566ADDC46AC47668 |
|
CONTENT
ssdeep
|
1536:W/wnHcCRagh2Lqh4bHd0rhnMlIlJlMCbFAfz88b087lP2iNUbHevbZeibRegbCeg:8g4GhDMmYgD5GhTsgb7ZXe8KT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0cbcf34543474da |
|
VISUAL
aHash
|
ffffc3c3c3c3e7ff |
|
VISUAL
dHash
|
d6d39f869e869693 |
|
VISUAL
wHash
|
7e4b4343c3c3c3c3 |
|
VISUAL
colorHash
|
0e002010080 |
|
VISUAL
cropResistant
|
d6d39f869e869693,0101013131010101 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 188 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.